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< p=""> The book covers the domain of multi-criteria decision
making, a topic which has gained significant attention of
researchers and practitioners spanning a variety of disciplines for
enhancing their decision making in real life situation. The topics
in this volume help readers understand the techniques in the model
building and analysis stage. The chapters cover a variety of
techniques and their applications for interesting problems. This
book will be of interest to readers in diverse disciplines such as
engineering, business, management, humanities, psychology and law.
^
Structural Equation Modeling provides a conceptual and mathematical
understanding of structural equation modelling, helping readers
across disciplines understand how to test or validate theoretical
models, and build relationships between observed variables. In
addition to a providing a background understanding of the concepts,
it provides step-by-step illustrative applications with AMOS, SPSS
and R software programmes. This volume will serve as a useful
reference for academic and industry researchers in the fields of
engineering, management, psychology, sociology, human resources,
and humanities.
< p=""> The book covers the domain of multi-criteria decision
making, a topic which has gained significant attention of
researchers and practitioners spanning a variety of disciplines for
enhancing their decision making in real life situation. The topics
in this volume help readers understand the techniques in the model
building and analysis stage. The chapters cover a variety of
techniques and their applications for interesting problems. This
book will be of interest to readers in diverse disciplines such as
engineering, business, management, humanities, psychology and law.
^
Structural Equation Modeling provides a conceptual and mathematical
understanding of structural equation modelling, helping readers
across disciplines understand how to test or validate theoretical
models, and build relationships between observed variables. In
addition to a providing a background understanding of the concepts,
it provides step-by-step illustrative applications with AMOS, SPSS
and R software programmes. This volume will serve as a useful
reference for academic and industry researchers in the fields of
engineering, management, psychology, sociology, human resources,
and humanities.
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